MO
dvmazur/mixtral-offloading
Run Mixtral-8x7B models in Colab or consumer desktops
2.3k 230 +0/wk
GitHub
colab-notebook deep-learning google-colab language-model llm mixture-of-experts offloading pytorch quantization
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
dvmazur/mixtral-offloading has +0 stars this period . 7-day velocity: -0.0%.
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| Metric | mixtral-offloading | handy-ollama | scattertext | dllm |
|---|---|---|---|---|
| Stars | 2.3k | 2.3k | 2.3k | 2.3k |
| Forks | 230 | 293 | 288 | 233 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | Apache-2.0 | Apache-2.0 |
Capability Radar vs handy-ollama
mixtral-offloading
handy-ollama
Maintenance Activity 0
Last code push 731 days ago.
Community Engagement 49
Fork-to-star ratio: 9.9%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.